A Novel Fault Diagnosis Algorithm Based On Graphical Model

摘要：

To resolve the uncertain system fault diagnosis issue in complex pattern identification problems, a novel fault diagnosis algorithm based on graphical model mechanism is advanced. This algorithm can execute parallel subnets search from local inference to global inference in the probabilistic graphical model searching field. With existing algorithms in probabilistic graphical models, the ability of searching maximum probability for fault subsystem is increased significantly. The presented algorithm is verified and illustrated in the fault diagnosis system with uncertainty in details. Experiment results demonstrate that, even involved with unobservable signals, the proposed method is feasible and can recognize the fault parts effectively.

关键词： uncertain system fault diagnosis graphical model inference

作者: Wenqiang Guo Yongyan Hou

作者单位: College of Electrical and Information Engineering Shaanxi University of Science and Technology Xian, Shaanxi, China 710021

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 723-726

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）